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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 23046
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    Explanations

    detailed and intricate descriptions or plans

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "elaborate" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.75
    early
    -0.72
    zone
    -0.71
    near
    -0.66
    alysed
    -0.66
    utral
    -0.65
    âĪĴ
    -0.63
    ears
    -0.62
    VR
    -0.62
     Citizens
    -0.60
    POSITIVE LOGITS
     elaborate
    1.13
    vier
    0.89
     elabor
    0.88
    ortment
    0.84
     intricate
    0.78
    acebook
    0.76
    ModLoader
    0.76
     adolesc
    0.73
    aeda
    0.73
     arrangements
    0.73
    Activations Density 0.010%

    No Known Activations